Challenge: Solving Task Using AdaBoost Regressor
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to start coding
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Lösning
Tack för dina kommentarer!
single
Fråga AI
Fråga AI
Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal
Awesome!
Completion rate improved to 4.55Challenge: Solving Task Using AdaBoost Regressor
Svep för att visa menyn
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to start coding
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Lösning
Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedanTack för dina kommentarer!
Awesome!
Completion rate improved to 4.55single
